Posts Tagged ‘ parallel ’

Parallelization: Speed up Functions in a Package

August 18, 2012
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Parallelization: Speed up Functions in a Package

Well I bought a new computer a month back (i7 8GB memory). Finally more than one core and a chance to try parallelization. I saw this blog post a while back and was intrigued and was further intriqued when I … Continue reading →

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read raster data in parallel

August 18, 2012
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read raster data in parallel

Use library(parallel) to read raster data in parallel fashion Use library(parallel) to read raster data in parallel fashion Recently, I have been doing some analysis for a project I am involved in. In particular, I was...

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Bivariate linear mixed models using ASReml-R with multiple cores

May 7, 2012
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Bivariate linear mixed models using ASReml-R with multiple cores

A while ago I wanted to run a quantitative genetic analysis where the performance of genotypes in each site was considered as a different trait. If you think about it, with 70 sites and thousands of genotypes one is trying … Continue reading →

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Parallel JAGS RNGs

July 23, 2011
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As a matter of convention, we usually run 3 or 4 chains in JAGS. By default, this gives rise to chains that draw samples from 3 or 4 distinct pseudorandom number generators. I didn’t go and check whether it does things 111,222,333 or 123,123,123, but in any event the “parallel chains” in JAGS are samples

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Automatic Simulation Queueing in R

December 28, 2010
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I spend much of my time writing R code for simulations to compare the supervised classification methods that I have developed with similar classifiers from the literature.  A large challenge is to determine which datasets (whether artificial/simulated or real) are interesting comparisons.  Even if we restricted ourselves to multivariate Gaussian data, there are a large

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